Abstract
In this paper, we introduce a new kind of software tools intended to offer a virtual educational and/or training environment online: proactive e-Learning Management Systems.
These computational intelligence based systems are designed to improve the users’ online (inter)actions by providing programmable, automatic and continuous intelligent analyses of the users’ behaviors, augmented with appropriate actions initiated by the LMS itself.
We show how we implemented the proactive part of our LMS on the basis of a dynamic rules-based expert system. We also sketch how it looks like from a user’s point of view. Finally, We give some examples of intelligent analysis of users’ behaviors coded into proactive rules.
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© 2007 Springer-Verlag Berlin Heidelberg
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El Alami, M., Casel, N., Zampunieris, D. (2007). An Architecture for e-Learning System with Computational Intelligence. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_8
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DOI: https://doi.org/10.1007/978-3-540-74827-4_8
Publisher Name: Springer, Berlin, Heidelberg
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